Survey on data heterogeneity problems and personalization based solutions of federated learning in Internet of vehicles

Survey on data heterogeneity problems and personalization based solutions of federated learning in Internet of vehicles

In Internet of vehicles (IoV) scenario, there was a massive amount of non-independent and identically distributed data among devices, leading to data heterogeneity problems of federated learning (FL). This problem affected the performances of model training and might pose threats to traffic safety....

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Bibliographic Details
Main Authors: LIU Miao, LIN Wanru, WANG Qin, GUI Guan
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2024-10-01
Series:Tongxin xuebao
Subjects:
Internet of vehicles
federated learning
personalized solution
data heterogeneity
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024170/
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